Read This Before Nvidia GTC 2026: Agentic AI And LPU

Nvidia CEO Jensen Huang hints at agentic AI at GTC; a Groq-based LPU could boost inference, defend its moat, and more. Click ...
RCR Wireless News

Arrcus: AI inference calls for smart, policy-aware network fabrics

As AI workloads move from training to real-world inference, Arrcus CEO says, network fabrics must evolve to keep up with the demands.
VentureBeat

AI inference costs dropped up to 10x on Nvidia's Blackwell — but hardware is only half the equation

Lowering the cost of inference is typically a combination of hardware and software. A new analysis released Thursday by Nvidia details how four leading inference providers are reporting 4x to 10x ...
TechCrunch

AI inference startup Modal Labs in talks to raise at $2.5B valuation, sources say

Modal Labs, a startup specializing in AI inference infrastructure, is talking to VCs about a new round at a valuation of about $2.5 billion, according to four people with knowledge of the deal. Should ...
TechCrunch

Inference startup Inferact lands $150M to commercialize vLLM

The creators of the open source project vLLM have announced that they transitioned the popular tool into a VC-backed startup, Inferact, raising $150 million in seed funding at an $800 million ...
SDxCentral

AI inference crisis: Google engineers on why network latency and memory trump compute

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...
Semiconductor Engineering

Four Architectural Opportunities for LLM Inference Hardware (Google)

“Large Language Model (LLM) inference is hard. The autoregressive Decode phase of the underlying Transformer model makes LLM inference fundamentally different from training. Exacerbated by recent AI ...
Computerworld

CES 2026: AI compute sees a shift from training to inference

In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI inference. LAS VEGAS — Not so long ago — last year, let’s say — tech industry ...
SDxCentral

AI inferencing will define 2026, and the market's wide open

“I get asked all the time what I think about training versus inference – I'm telling you all to stop talking about training versus inference.” So declared OpenAI VP Peter Hoeschele at Oracle’s AI ...
GitHub

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently ...

[08/05] Running a High-Performance GPT-OSS-120B Inference Server with TensorRT LLM ️ link [08/01] Scaling Expert Parallelism in TensorRT LLM (Part 2: Performance Status and Optimization) ️ link [07/26 ...
unite

Why AI Inference, Not Training, is the Next Great Engineering Challenge

For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and the ...